create_promotion
Create a promotion / discount code. type=percentage or fixed_amount; value is the discount as a string ("10" = 10% or 10 currency units). Codes are uppercased server-side.
This record as markdown: /tools/io-favcrm-favcrm/create-promotion.md
What create_promotion does on FavCRM
AI agents use create_promotion to create or update resources in FavCRM, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FavCRM environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
code | string | Yes | Coupon code customers enter at checkout (auto-uppercased) |
name | string | Yes | Promotion name (internal) |
type | string | — | Default percentage |
value | string | Yes | Discount value as decimal string |
endsAt | object | — | ISO datetime — when the promo expires |
status | string | — | Default active |
startsAt | object | — | ISO datetime — when the promo becomes valid |
posEnabled | boolean | — | Allow at POS |
description | string | — | Description |
eventEnabled | boolean | — | Allow on event registrations |
minimumAmount | object | — | Minimum order amount required, decimal string |
onlineEnabled | boolean | — | Allow on online shop orders |
Parameters from the server's own tool schema.
Why create_promotion is rated Medium
This tool creates or modifies data (a promotion record) in a reversible manner—discount codes can be updated, disabled, or deleted without permanent data loss. It does not execute arbitrary code, delete data irreversibly, or move money directly.
From the tool's definition create_promotion creates a new discount code object with configurable type (percentage or fixed_amount) and value parameters. The tool name and description explicitly indicate creation of a new resource ('Create a promotion / discount code').
Risk signalsAccepts freeform code/query input (code) · High parameter count (17 properties)
Attacks that exploit this kind of access
The rule that runs create_promotion safely
PolicyLayer is an MCP gateway: it sits between your AI agents and FavCRM, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_promotion, this is the rule to start with:
create_promotion stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect FavCRM, apply this rule, and every create_promotion call is checked against it from then on.
Questions about create_promotion
Create a promotion / discount code. type=percentage or fixed_amount; value is the discount as a string ("10" = 10% or 10 currency units). Codes are uppercased server-side. It is categorised as a Write tool in the FavCRM MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
create_promotion accepts 12 parameters: code, name, type, value, endsAt, status, startsAt, posEnabled, description, eventEnabled, minimumAmount, onlineEnabled. Required: code, name, value. The full parameter table on this page comes from the server's own tool schema.
Register the FavCRM MCP server in PolicyLayer and add a rule for create_promotion: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches FavCRM. Nothing to install.
create_promotion is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_promotion rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for create_promotion. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
create_promotion is provided by the FavCRM MCP server (https://api.favcrm.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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